Data Scientist

2 weeks ago


Taguig, National Capital Region, Philippines CHAMP Cargosystems Full time

Overview

CHAMP Cargosystems provides the most comprehensive range of integrated IT solutions and distribution services for the air cargo transport chain. The portfolio spans core management systems, messaging services, and eCargo solutions. These include applications to meet customs and security requirements, quality optimization as well as e-freight and mobility needs. The products and services are well known under the Cargospot and Traxon brands.

The company serves over 200 airlines and GSAs, and links these with some 3,000 forwarders and GHAs worldwide. CHAMP's solutions help its customers and their clients adapt to critical and continuous changes in air transport logistics to meet global trade demands.

CHAMP Cargosystems is headquartered in Luxembourg and operates offices in London, Zurich, Frankfurt, Manila, Singapore and Atlanta.

CHAMP's Innovation and Insights Business Unit is driven by the following mission: "Capture innovation for and with our customers, by uncovering disruptions, so that we offer today the best of tomorrow". To fulfil this mission, we seek professionals fueled by our same values of curiosity, agility, cooperation, and customer-centricity.

We are currently looking for a Data Scientist to join our team and help us shape the next generation of ML-powered products.

Reporting to the Business Intelligence Manager, you will participate in the construction of new machine learning-based services. CHAMP launched its first 100% machine learning-based product in 2023 and plans to expand its portfolio in the coming year by integrating machine learning into existing products and developing new ones to capitalize on our market leader position.

Responsibilities

  • Translate functional requirements into machine learning deliverables.
  • Create and maintain datasets and models over time.
  • Prototype solutions.
  • Collaborate with both external and internal parties to develop and support CHAMP's activities.
  • Explore new technological opportunities.
  • Listen to our customers and contribute to driving evolutions and improvements of our solutions.
  • Liaise with the BI team to ensure the proper functioning of the machine learning models.
  • Support the development of new data products.
  • Provide expertise for, advice on and demonstrations of our ML solutions.
  • Deliver working solutions on time, on cost, and on specifications.
  • Ensure ethical use of data and models by implementing privacy-preserving techniques and complying with data protection regulations.
  • Document processes, methodologies, and project outcomes comprehensively.

Knowledge, Skills and Abilities:

  • Proficiency in programming languages such as Python, R, SQL, and familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn.
  • Experience with statistical software and libraries like Scikit-learn, Statsmodel, TensorFlow, Pytorch, Jax, Keras.
  • Experience in data handling software or languages SQL, MongoDB Query, ETL tools.
  • Knowledge in general machine learning problems: forecasting, computer vision, natural language processing, feature engineering.
  • Knowledge in collaborative development processes MLOps, DEVOps and agile processes.
  • Ability to support the selection of sound architectures and technologies for the future.
  • Strong communication skills to enable a smooth flow of information in a multi-cultural environment.
  • Empathy and adaptability to find the best trade-off between teams, technology capabilities and functional requirements.
  • Excellent analytical and problem-solving skills.
  • Good knowledge of MS Office suite.
  • Good written and verbal command of English language is a must.
  • A plus: knowledge of the air cargo business or logistics/supply chain business.
  • A plus: knowledge and experience of AWS and other cloud platform services.
  • A plus: participation in Kaggle, HuggingFace, or GitHub (model machine learning related).

Education and Experience:

  • Degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Advanced degrees preferred.
  • Proven experience in data science, machine learning, and statistical analysis.
  • Minimum of 3 years' experience in ML development.
  • A plus: prior experience in a startup.

The selected candidate may be subject to the provision of an up-to-date (not older than 3 months) criminal record certificate.

Please note that any personal data submitted along with your application will be processed by CHAMP and may be processed by any of its global entities as necessary. These data will be treated in strict compliance with applicable data protection legislation.

Further details on what is considered personal data, how it is processed by CHAMP, as well as your rights in this regard can be found here. Any questions relating to this should be addressed to CHAMP's Data Protection Officer:

Gertrud Huberty
2, rue Edmond Reuter
Zone d'Activités "Weiergewan"
L-5326 Contern
Luxembourg

Email: dpo@champ.aero (Please do not use this email to send job application)

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